If you are in search for the most useful CCA175 Reliable Dumps Pdf exam dumps, you are at the right place to find us! Our CCA175 Reliable Dumps Pdf training materials are full of the latest exam questions and answers to handle the exact exam you are going to face. with the help of our CCA175 Reliable Dumps Pdf learning engine, you will find to pass the exam is just like having a piece of cake. In addition, we provide free updates to users for one year long. If the user finds anything unclear in the CCA175 Reliable Dumps Pdf practice materials exam, we will send email to fix it, and our team will answer all of your questions related to the CCA175 Reliable Dumps Pdf guide prep. Try CCA175 Reliable Dumps Pdf dumps and ace your upcoming CCA175 Reliable Dumps Pdf certification test, securing the best percentage of your academic career.
All CCA175 Reliable Dumps Pdf actual exams are 100 percent assured.
Differ as a result the CCA175 - CCA Spark and Hadoop Developer Exam Reliable Dumps Pdf questions torrent geared to the needs of the user level, cultural level is uneven, have a plenty of college students in school, have a plenty of work for workers, and even some low education level of people laid off, so in order to adapt to different level differences in users, the CCA175 - CCA Spark and Hadoop Developer Exam Reliable Dumps Pdf exam questions at the time of writing teaching materials with a special focus on the text information expression, as little as possible the use of crude esoteric jargon, as much as possible by everyone can understand popular words to express some seem esoteric knowledge, so that more users through the CCA175 - CCA Spark and Hadoop Developer Exam Reliable Dumps Pdf prep guide to know that the main content of qualification examination, stimulate the learning enthusiasm of the user, arouse their interest in learning. Our veteran professional generalize the most important points of questions easily tested in the Reliable Testcollection CCA175 practice exam into our practice questions. Their professional work-skill paid off after our Reliable Testcollection CCA175 training materials being acceptable by tens of thousands of exam candidates among the market.
How you can gain the CCA175 Reliable Dumps Pdf certification with ease in the least time? The answer is our CCA175 Reliable Dumps Pdf study materials for we have engaged in this field for over ten years and we have become the professional standard over all the exam materials. You can free download the demos which are part of our CCA175 Reliable Dumps Pdf exam braindumps, you will find that how good they are for our professionals devote of themselves on compiling and updating the most accurate content of our CCA175 Reliable Dumps Pdf exam questions.
Because it can help you prepare for the Cloudera CCA175 Reliable Dumps Pdf exam.
Which kind of CCA175 Reliable Dumps Pdf certificate is most authorized, efficient and useful? We recommend you the CCA175 Reliable Dumps Pdf certificate because it can prove that you are competent in some area and boost outstanding abilities. If you buy our CCA175 Reliable Dumps Pdf study materials you will pass the test smoothly and easily. We boost professional expert team to organize and compile the CCA175 Reliable Dumps Pdf training guide diligently and provide the great service.
However, we need to realize that the genius only means hard-working all one’s life. It means that if you do not persist in preparing for the CCA175 Reliable Dumps Pdf exam, you are doomed to failure.
CCA175 PDF DEMO:
QUESTION NO: 1
CORRECT TEXT
Problem Scenario 81 : You have been given MySQL DB with following details. You have been given following product.csv file product.csv productID,productCode,name,quantity,price
1001,PEN,Pen Red,5000,1.23
1002,PEN,Pen Blue,8000,1.25
1003,PEN,Pen Black,2000,1.25
1004,PEC,Pencil 2B,10000,0.48
1005,PEC,Pencil 2H,8000,0.49
1006,PEC,Pencil HB,0,9999.99
Now accomplish following activities.
1 . Create a Hive ORC table using SparkSql
2 . Load this data in Hive table.
QUESTION NO: 2
. Create a Hive parquet table using SparkSQL and load data in it.
Answer:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create this tile in HDFS under following directory (Without header}
/user/cloudera/he/exam/task1/productcsv
Step 2 : Now using Spark-shell read the file as RDD
// load the data into a new RDD
val products = sc.textFile("/user/cloudera/he/exam/task1/product.csv")
// Return the first element in this RDD
prod u cts.fi rst()
Step 3 : Now define the schema using a case class
case class Product(productid: Integer, code: String, name: String, quantity:lnteger, price:
Float)
Step 4 : create an RDD of Product objects
val prdRDD = products.map(_.split(",")).map(p =>
Product(p(0).tolnt,p(1),p(2),p(3}.tolnt,p(4}.toFloat))
prdRDD.first()
prdRDD.count()
Step 5 : Now create data frame val prdDF = prdRDD.toDF()
Step 6 : Now store data in hive warehouse directory. (However, table will not be created } import org.apache.spark.sql.SaveMode
prdDF.write.mode(SaveMode.Overwrite).format("orc").saveAsTable("product_orc_table") step 7:
Now create table using data stored in warehouse directory. With the help of hive.
hive
show tables
CREATE EXTERNAL TABLE products (productid int,code string,name string .quantity int, price float}
STORED AS ore
LOCATION 7user/hive/warehouse/product_orc_table';
Step 8 : Now create a parquet table
import org.apache.spark.sql.SaveMode
prdDF.write.mode(SaveMode.Overwrite).format("parquet").saveAsTable("product_parquet_ table")
Step 9 : Now create table using this
CREATE EXTERNAL TABLE products_parquet (productid int,code string,name string
.quantity int, price float}
STORED AS parquet
LOCATION 7user/hive/warehouse/product_parquet_table';
Step 10 : Check data has been loaded or not.
Select * from products;
Select * from products_parquet;
3. CORRECT TEXT
Problem Scenario 84 : In Continuation of previous question, please accomplish following activities.
1. Select all the products which has product code as null
2. Select all the products, whose name starts with Pen and results should be order by Price descending order.
3. Select all the products, whose name starts with Pen and results should be order by
Price descending order and quantity ascending order.
QUESTION NO: 3
Select top 2 products by price
Answer:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Select all the products which has product code as null
val results = sqlContext.sql(......SELECT' FROM products WHERE code IS NULL......) results. showQ val results = sqlContext.sql(......SELECT * FROM products WHERE code = NULL ",,M ) results.showQ
Step 2 : Select all the products , whose name starts with Pen and results should be order by Price descending order. val results = sqlContext.sql(......SELECT * FROM products
WHERE name LIKE 'Pen %' ORDER BY price DESC......)
results. showQ
Step 3 : Select all the products , whose name starts with Pen and results should be order by Price descending order and quantity ascending order. val results = sqlContext.sql('.....SELECT * FROM products WHERE name LIKE 'Pen %' ORDER BY price DESC, quantity......) results. showQ
Step 4 : Select top 2 products by price
val results = sqlContext.sql(......SELECT' FROM products ORDER BY price desc
LIMIT2......}
results. show()
4. CORRECT TEXT
Problem Scenario 4: You have been given MySQL DB with following details.
user=retail_dba
password=cloudera
database=retail_db
table=retail_db.categories
jdbc URL = jdbc:mysql://quickstart:3306/retail_db
Please accomplish following activities.
Import Single table categories (Subset data} to hive managed table , where category_id between 1 and 22
Answer:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Import Single table (Subset data)
sqoop import --connect jdbc:mysql://quickstart:3306/retail_db -username=retail_dba - password=cloudera -table=categories -where "\'category_id\' between 1 and 22" --hive- import --m 1
Note: Here the ' is the same you find on ~ key
This command will create a managed table and content will be created in the following directory.
/user/hive/warehouse/categories
Step 2 : Check whether table is created or not (In Hive)
show tables;
select * from categories;
QUESTION NO: 4
CORRECT TEXT
Problem Scenario 49 : You have been given below code snippet (do a sum of values by key}, with intermediate output.
val keysWithValuesList = Array("foo=A", "foo=A", "foo=A", "foo=A", "foo=B", "bar=C",
"bar=D", "bar=D")
val data = sc.parallelize(keysWithValuesl_ist}
//Create key value pairs
val kv = data.map(_.split("=")).map(v => (v(0), v(l))).cache()
val initialCount = 0;
val countByKey = kv.aggregateByKey(initialCount)(addToCounts, sumPartitionCounts)
Now define two functions (addToCounts, sumPartitionCounts) such, which will produce following results.
Output 1
countByKey.collect
res3: Array[(String, Int)] = Array((foo,5), (bar,3))
import scala.collection._
val initialSet = scala.collection.mutable.HashSet.empty[String]
val uniqueByKey = kv.aggregateByKey(initialSet)(addToSet, mergePartitionSets)
Now define two functions (addToSet, mergePartitionSets) such, which will produce following results.
Output 2:
uniqueByKey.collect
res4: Array[(String, scala.collection.mutable.HashSet[String])] = Array((foo,Set(B, A}},
(bar,Set(C, D}}}
Answer:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
val addToCounts = (n: Int, v: String) => n + 1
val sumPartitionCounts = (p1: Int, p2: Int} => p1 + p2
val addToSet = (s: mutable.HashSet[String], v: String) => s += v
val mergePartitionSets = (p1: mutable.HashSet[String], p2: mutable.HashSet[String]) => p1
+ += p2
QUESTION NO: 5
CORRECT TEXT
Problem Scenario 13 : You have been given following mysql database details as well as other info.
user=retail_dba
password=cloudera
database=retail_db
jdbc URL = jdbc:mysql://quickstart:3306/retail_db
Please accomplish following.
1. Create a table in retailedb with following definition.
CREATE table departments_export (department_id int(11), department_name varchar(45), created_date T1MESTAMP DEFAULT NOWQ);
2. Now import the data from following directory into departments_export table,
/user/cloudera/departments new
Answer:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Login to musql db
mysql --user=retail_dba -password=cloudera
show databases; use retail_db; show tables;
step 2 : Create a table as given in problem statement.
CREATE table departments_export (departmentjd int(11), department_name varchar(45), created_date T1MESTAMP DEFAULT NOW()); show tables;
Step 3 : Export data from /user/cloudera/departmentsnew to new table departments_export sqoop export -connect jdbc:mysql://quickstart:3306/retail_db \
-username retaildba \
--password cloudera \
--table departments_export \
-export-dir /user/cloudera/departments_new \
-batch
Step 4 : Now check the export is correctly done or not. mysql -user*retail_dba - password=cloudera show databases; use retail _db;
show tables;
select' from departments_export;
More importantly, if you take our products into consideration, our Adobe AD0-E134 study materials will bring a good academic outcome for you. Axis Communications CTS - After all, no one can steal your knowledge. Our SAP C-ARCON-2404 exam dumps will lead you to success! Do not worry, in order to help you solve your problem and let you have a good understanding of our SAP C-ARSUM-2404 study practice dump, the experts and professors from our company have designed the trial version for all people. With the help of our ECCouncil 212-82 training guide, your dream won’t be delayed anymore.
Updated: May 28, 2022